Jinyan Wan
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
-
- Traditional Chinese Medicine Analysis
Papers in
-
- Traditional Chinese Medicine Analysis 4
- Medicinal Plants and Neuroprotection 3
-
- Barrier Structure and Function Studies 2
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Neurological Disease Mechanisms and Treatments 2
- Co-authors
- Yu Long (14 shared papers)Nan Li (14 shared papers)Yulu Zhang (13 shared papers)Songyu Liu (9 shared papers)Shuang Yu (10 shared papers)Ai Shi (10 shared papers)Wei Peng (3 shared papers)Qiyue Yang (4 shared papers)
- Journals
- Pharmacological Research (4 papers)Organic Letters (2 papers)Frontiers in Pharmacology (1 paper)Journal of Ethnopharmacology (1 paper)AAPS PharmSciTech (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Jinyan Wan
18 papers receiving 725 citations
Peers
Comparison fields: 5 of 97
- Biological Psychiatry 82
- Complementary and alternative medicine 125
- Neurology 106
- Pharmacology 85
- Behavioral Neuroscience 27
Countries citing papers authored by Jinyan Wan
This map shows the geographic impact of Jinyan Wan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jinyan Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinyan Wan more than expected).
Fields of papers citing papers by Jinyan Wan
This network shows the impact of papers produced by Jinyan Wan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jinyan Wan. The network helps show where Jinyan Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinyan Wan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 142 | |
| 2 | 2020 | 127 | |
| 3 | 2021 | 80 | |
| 4 | 2022 | 77 | |
| 5 | 2022 | 49 | |
| 6 | 2020 | 47 | |
| 7 | 2020 | 33 | |
| 8 | 2022 | 31 | |
| 9 | 2023 | 29 | |
| 10 | 2022 | 27 | |
| 11 | 2022 | 23 | |
| 12 | 2022 | 16 | |
| 13 | 2021 | 15 | |
| 14 | 2021 | 13 | |
| 15 | 2022 | 11 | |
| 16 | 2023 | 11 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 1 |
About Jinyan Wan
Jinyan Wan is a scholar working on Complementary and alternative medicine, Neurology, Pharmacology, Molecular Biology and Biological Psychiatry, having authored 18 papers that have together received 734 indexed citations. Recurring topics across this work include Flavonoids in Medical Research (4 papers), Traditional Chinese Medicine Analysis (4 papers), Medicinal Plants and Neuroprotection (3 papers), Tryptophan and brain disorders (3 papers), Barrier Structure and Function Studies (2 papers), Catalytic C–H Functionalization Methods (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Biological Psychiatry (82 citations), Complementary and alternative medicine (125 citations), Neurology (106 citations), Pharmacology (85 citations) and Behavioral Neuroscience (27 citations). Jinyan Wan has collaborated with scholars based in China and United States. Frequent co-authors include Yu Long, Nan Li, Yulu Zhang, Songyu Liu, Shuang Yu, Ai Shi, Wei Peng, Qiyue Yang, Xiang Yan and Songyu Liu. Their work appears in journals such as Pharmacological Research, Organic Letters, Frontiers in Pharmacology, Journal of Ethnopharmacology and AAPS PharmSciTech.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.